Can a student learn data analytics if he/she is from the commerce/ humanities background?

Ofcourse, If a student has willingness to learn something, he can learn anything with his full dedication. And when I talk about commerce or humanities background students, they have a very unique approach for analytics. It builds on the understanding of finance and management they gain over their course. Their familiarities with numbers helps them derive useful information from numerical data. Their understanding of business also helps them make better decisions. So a commerce/ humanities student definitely go for analytics. Also analytics is a core which possess a wide opportunity with itself for your career.

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<p>Absolutely! Students from commerce or humanities backgrounds can definitely learn data analytics and excel in the field. While a background in math, statistics, or computer Science can be advantageous, it is not a prerequisite for learning data analytics. Here's how students from commerce or humanities backgrounds can approach learning data analytics:</p><p><strong>1. Gain a Solid Foundation:-&nbsp;</strong> Start by building a foundation in relevant areas such as statistics, mathematics, and programming. This can be done through online courses, tutorials, or textbooks specifically tailored for beginners. Understand key concepts like data types, variables, descriptive statistics, and basic probability.</p><p><strong>2. Learn Data Analysis Tools:-</strong>&nbsp; Familiarize yourself with popular data analysis tools such as Excel, which is widely used in commerce-related fields. Excel offers features for data manipulation, formulas, and basic statistical functions. Additionally, learn to use tools like R or Python, which are powerful programming languages for data analysis.</p><p><strong>3. Focus on Analytical Skills:-</strong>&nbsp; Develop analytical thinking and problem-solving skills. Data analysis requires critical thinking, the ability to ask the right questions, and interpret the results. Practice analyzing real-world data sets, identifying patterns, and drawing meaningful insights.</p><p><strong>4. Take Relevant Courses:-</strong>&nbsp; Enroll in online or in-person courses focused on data analytics. Many platforms offer courses specifically designed for beginners without a technical background. These courses cover topics such as data manipulation, visualization, statistical analysis, and machine learning.</p><p><strong>5. Apply Data Analytics in Real-World Contexts:-</strong>&nbsp; Undertake projects or internships that allow you to apply data analytics skills in practical scenarios. This hands-on experience will strengthen your understanding and showcase your capabilities to potential employers.</p><p><strong>6. Leverage Resources:-</strong>&nbsp; Take advantage of online resources, such as tutorials, blogs, and forums, to expand your knowledge and learn from experienced professionals. Participate in online communities or join local meetups related to data analytics to network with like-minded individuals and gain insights from their experiences.</p><p><strong>7. Continuous Learning:-&nbsp;</strong> Data analytics is a rapidly evolving field, so embrace a mindset of continuous learning. Stay updated with the latest trends, tools, and techniques by following industry blogs, attending webinars, or participating in online courses.</p><p>&nbsp;Remember that a diverse background can bring unique perspectives to data analytics. Skills like problem-solving, critical thinking, and effective communication, which are often developed in commerce or humanities fields, are highly valuable in data analysis. Many organizations value a well-rounded skill set that combines domain knowledge with analytical expertise.</p><p>While it may take some extra effort and dedication to bridge the gap in technical skills, it is certainly possible for students from commerce or humanities backgrounds to learn and succeed in data analytics. With the right mindset, learning resources, and practical application, you can build a solid foundation in data analytics and open up exciting career opportunities in the field.</p><p><br><strong>Structured Learning Assistance</strong> - SLA is known for its excellence in education sector who provides <strong>Data Analytics Course</strong> fortified with a well established infrastructure with advanced lab facility, senior industry expert and modern training system to enhance the knowledge of students. SLA is well known entity having <strong>Data Analytics Institute</strong>. It is built with all convenient facilities and positive study ambiance for the students. Fulfill the main task of placement, SLA aids in <strong>100% Job Placement after completion of 70% course.</strong></p><p>&nbsp;</p>

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<p>Yes, you can pursue a career in data analytics with a background in commerce and humanities. If you're looking for a practical, short-term online master's course with placement support, I would suggest the <strong>IIM SKILLS Data Analytics Master Course</strong>. It's a 6-month, live instructor-led programme offering one-on-one mentorship from ex-IIT Mumbai alumni, covering all the essential topics like Excel, Python &amp; R, Power BI &amp; Tableau and SQL with 8+ live projects, 10+ case studies and helps in preparation of 10 global accredited certifications along with guaranteed internship and assured placement support from 550+ hiring partners.&nbsp;&nbsp;</p>

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<p>Yes absolutely they can pursue data analytics even if they are from other backgrounds. There are many courses which offers data analytics course for beginners student with zero data background. One such course is Data Analytics Master Course by IIM SKILLS, they have beginner friendly course structure covering from basic to advance topic like excel, sql, python, R, tableau, BI and many more. They give live sessions, and one on one mentorship with real life cases studies. After course students get 6 month paid internship and helps in getting the job. They have 100% placement support.&nbsp;</p>

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<p dir="ltr"><strong>IIM SKILLS </strong>offers a six-month <strong>Data Analytics</strong>&nbsp; programme featuring live classes, lifetime access to resources, and integrated placement assistance.&nbsp;</p><p dir="ltr">If your aim is to enroll in a programme for the purpose of learning both basic and advanced analytics, such as<strong> Excel/statistics, </strong> and then transitions into <strong>SQL, Python, or R, plus data visualization</strong> then they cover it all and more.</p><p dir="ltr">The most important part is that which stream you come from doesn't matter, because they go step by step advancing in levels so that even a novice can slowly grasp the concept and gain expertise.&nbsp; It does come down to your own efforts and understanding too.&nbsp;</p><p dir="ltr">My friend who enrolled there was a commerce stream student.&nbsp;</p><p dir="ltr">They not only provide a certificate but also assisted him in building a job-ready portfolio and preparing for interviews.<br><br>Their faculty were willing to clear his&nbsp; doubts and took time out to explain things post his class periods too when possible .&nbsp;</p><p dir="ltr">The in-house internship&nbsp; was something that helped my friend the most. Since it added real life work experience on his CV. So on applying for jobs he actually was able to get into a few second round interviews and bagged a job as junior analyst for one of the companies .</p>

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